<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ContentLora: Artificial intelligence</title><description>New and updated Artificial intelligence pages on ContentLora.</description><link>https://contentlora.com/</link><language>en</language><atom:link href="https://contentlora.com/topics/ai/feed.xml" rel="self" type="application/rss+xml"/><item><title>AI control</title><link>https://contentlora.com/wiki/ai-control/</link><guid isPermaLink="true">https://contentlora.com/wiki/ai-control/</guid><description>AI control designs safeguards that hold even if an AI model tries to subvert them: monitoring, trusted editing and sandboxing.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-safety</category><category>ai</category></item><item><title>AlphaFold</title><link>https://contentlora.com/wiki/alphafold/</link><guid isPermaLink="true">https://contentlora.com/wiki/alphafold/</guid><description>AlphaFold is Google DeepMind&apos;s AI system for predicting protein and biomolecular structures. Versions, accuracy, database and limits.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-for-science</category><category>life-sciences</category><category>ai</category></item><item><title>AMD</title><link>https://contentlora.com/wiki/amd/</link><guid isPermaLink="true">https://contentlora.com/wiki/amd/</guid><description>AMD designs CPUs, GPUs and AI accelerators for data centers, PCs and embedded systems. Its history, products, finances and recent deals as of October 2026.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>semiconductors</category><category>ai</category><category>big-tech</category></item><item><title>Anthropic</title><link>https://contentlora.com/wiki/anthropic/</link><guid isPermaLink="true">https://contentlora.com/wiki/anthropic/</guid><description>Anthropic is the US AI company that makes the Claude models. Its structure, funding, IPO filing and 2026 Pentagon dispute.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai</category><category>big-tech</category></item><item><title>ARC-AGI</title><link>https://contentlora.com/wiki/arc-agi/</link><guid isPermaLink="true">https://contentlora.com/wiki/arc-agi/</guid><description>ARC-AGI is a benchmark series of tasks easy for people and hard for AI. ARC-AGI-3 went from 0.51% to 62.7% for AI within six months.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>frontier-ai</category><category>ai</category><category>science</category></item><item><title>CAISI / CAISSI: the US government&apos;s AI testing centre at NIST</title><link>https://contentlora.com/wiki/caisi/</link><guid isPermaLink="true">https://contentlora.com/wiki/caisi/</guid><description>The US centre at NIST that tests frontier AI models, from AI Safety Institute to CAISI (2025) and CAISSI (2026).</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-safety</category><category>policy</category><category>ai</category></item><item><title>Claude Mythos</title><link>https://contentlora.com/wiki/claude-mythos/</link><guid isPermaLink="true">https://contentlora.com/wiki/claude-mythos/</guid><description>Claude Mythos is Anthropic&apos;s most capable model class, first released as a gated preview for cyber defence and later as Claude Fable.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>frontier-ai</category><category>ai</category></item><item><title>Constitutional AI</title><link>https://contentlora.com/wiki/constitutional-ai/</link><guid isPermaLink="true">https://contentlora.com/wiki/constitutional-ai/</guid><description>Constitutional AI trains models with written principles and AI feedback instead of only human labels. How it works and what changed in 2026.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-safety</category><category>ai</category></item><item><title>DeepSeek-R1</title><link>https://contentlora.com/wiki/deepseek-r1/</link><guid isPermaLink="true">https://contentlora.com/wiki/deepseek-r1/</guid><description>DeepSeek-R1 reported that reinforcement learning alone can teach a language model to reason. Its findings, publication and successors.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>frontier-ai</category><category>ai</category><category>science</category></item><item><title>ECMWF AIFS (Artificial Intelligence Forecasting System)</title><link>https://contentlora.com/wiki/ecmwf-aifs/</link><guid isPermaLink="true">https://contentlora.com/wiki/ecmwf-aifs/</guid><description>The AIFS is ECMWF&apos;s operational AI weather model, running since 2025 beside its physics-based IFS. Performance, energy use and limits.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-for-science</category><category>ai</category><category>science</category></item><item><title>Figure AI</title><link>https://contentlora.com/wiki/figure-ai/</link><guid isPermaLink="true">https://contentlora.com/wiki/figure-ai/</guid><description>Figure AI builds general-purpose humanoid robots and its own Helix AI model. Its robots, BMW deployments, funding and 2026 milestones.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>robotics</category><category>ai</category></item><item><title>Frontier safety frameworks (responsible scaling policies)</title><link>https://contentlora.com/wiki/frontier-safety-frameworks/</link><guid isPermaLink="true">https://contentlora.com/wiki/frontier-safety-frameworks/</guid><description>Frontier safety frameworks are AI companies&apos; if-then rules for dangerous capabilities. How they work, who has one, and 2026 changes.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-safety</category><category>ai</category><category>policy</category></item><item><title>Gemini Robotics</title><link>https://contentlora.com/wiki/gemini-robotics/</link><guid isPermaLink="true">https://contentlora.com/wiki/gemini-robotics/</guid><description>Gemini Robotics is Google DeepMind&apos;s family of robot AI models. What it does, how it evolved from RT-2 to Gemini Robotics 2, and its limits.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>robotics</category><category>ai</category></item><item><title>Genesis Mission (US AI-for-science initiative)</title><link>https://contentlora.com/wiki/genesis-mission/</link><guid isPermaLink="true">https://contentlora.com/wiki/genesis-mission/</guid><description>The Genesis Mission is the US government&apos;s DOE-led programme to accelerate science with AI, launched in November 2025. Goals and awards.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-for-science</category><category>ai</category><category>science</category></item><item><title>GNoME (Graph Networks for Materials Exploration)</title><link>https://contentlora.com/wiki/gnome-materials/</link><guid isPermaLink="true">https://contentlora.com/wiki/gnome-materials/</guid><description>GNoME is Google DeepMind&apos;s deep-learning project that predicted 2.2 million new crystal structures. What it found and why critics push back.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-for-science</category><category>ai</category><category>science</category></item><item><title>Google DeepMind</title><link>https://contentlora.com/wiki/google-deepmind/</link><guid isPermaLink="true">https://contentlora.com/wiki/google-deepmind/</guid><description>Google DeepMind is Alphabet&apos;s AI research lab, maker of Gemini and AlphaFold. Its origins, leadership, models and 2026 news.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai</category><category>big-tech</category><category>science</category></item><item><title>Intel</title><link>https://contentlora.com/wiki/intel/</link><guid isPermaLink="true">https://contentlora.com/wiki/intel/</guid><description>Intel designs and manufactures processors and runs a contract foundry. Its history, 18A process, finances and new investors as of October 2026.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>semiconductors</category><category>ai</category><category>big-tech</category></item><item><title>NVIDIA Isaac GR00T</title><link>https://contentlora.com/wiki/isaac-gr00t/</link><guid isPermaLink="true">https://contentlora.com/wiki/isaac-gr00t/</guid><description>Isaac GR00T is NVIDIA&apos;s platform of open humanoid robot foundation models, simulation tools and reference hardware. Versions, data and partners.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>robotics</category><category>ai</category></item><item><title>Isomorphic Labs</title><link>https://contentlora.com/wiki/isomorphic-labs/</link><guid isPermaLink="true">https://contentlora.com/wiki/isomorphic-labs/</guid><description>Isomorphic Labs is the Alphabet-backed AI drug discovery company led by Demis Hassabis. Funding, partners and clinical timeline.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-for-science</category><category>ai</category><category>life-sciences</category></item><item><title>METR</title><link>https://contentlora.com/wiki/metr/</link><guid isPermaLink="true">https://contentlora.com/wiki/metr/</guid><description>METR is an AI evaluation group known for measuring how long a task AI agents can complete, and for trials of AI&apos;s effect on developers.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>frontier-ai</category><category>ai</category><category>science</category></item><item><title>Model Context Protocol (MCP)</title><link>https://contentlora.com/wiki/model-context-protocol/</link><guid isPermaLink="true">https://contentlora.com/wiki/model-context-protocol/</guid><description>The Model Context Protocol is an open standard for connecting AI apps and agents to tools and data, now run by the Linux Foundation.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>frontier-ai</category><category>ai</category><category>computing</category></item><item><title>NVIDIA</title><link>https://contentlora.com/wiki/nvidia/</link><guid isPermaLink="true">https://contentlora.com/wiki/nvidia/</guid><description>NVIDIA designs GPUs, CPUs and networking for AI data centers. Its history, products, finances and recent developments as of October 2026.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>semiconductors</category><category>ai</category><category>big-tech</category></item><item><title>Open X-Embodiment</title><link>https://contentlora.com/wiki/open-x-embodiment/</link><guid isPermaLink="true">https://contentlora.com/wiki/open-x-embodiment/</guid><description>Open X-Embodiment is a pooled dataset of 1M+ robot trajectories from 22 robot types and the RT-X models trained on it. Why it mattered.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>robotics</category><category>ai</category></item><item><title>OpenAI</title><link>https://contentlora.com/wiki/openai/</link><guid isPermaLink="true">https://contentlora.com/wiki/openai/</guid><description>OpenAI is the US AI company behind ChatGPT and the GPT models. Its structure, funding, products and what changed in 2026.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai</category><category>big-tech</category></item><item><title>OpenAI o1</title><link>https://contentlora.com/wiki/openai-o1/</link><guid isPermaLink="true">https://contentlora.com/wiki/openai-o1/</guid><description>OpenAI o1 is a reasoning model series trained with reinforcement learning to think in a chain of thought before answering.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>frontier-ai</category><category>ai</category></item><item><title>Physical Intelligence</title><link>https://contentlora.com/wiki/physical-intelligence/</link><guid isPermaLink="true">https://contentlora.com/wiki/physical-intelligence/</guid><description>Physical Intelligence (π) is a startup building general-purpose robot foundation models such as π0 and π0.5. Its models, data approach and funding.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>robotics</category><category>ai</category></item><item><title>RFdiffusion</title><link>https://contentlora.com/wiki/rfdiffusion/</link><guid isPermaLink="true">https://contentlora.com/wiki/rfdiffusion/</guid><description>RFdiffusion is an open-source generative AI model from the Institute for Protein Design that designs new proteins and binders.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-for-science</category><category>life-sciences</category><category>ai</category></item><item><title>Reinforcement learning from human feedback (RLHF)</title><link>https://contentlora.com/wiki/rlhf/</link><guid isPermaLink="true">https://contentlora.com/wiki/rlhf/</guid><description>RLHF trains AI models on human preference rankings. Where it came from, why it became the standard, and its limits.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-safety</category><category>ai</category></item><item><title>Samsung Electronics</title><link>https://contentlora.com/wiki/samsung-electronics/</link><guid isPermaLink="true">https://contentlora.com/wiki/samsung-electronics/</guid><description>Samsung Electronics is a South Korean maker of memory chips, foundry services and devices. Its structure, chip business and 2026 results.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>semiconductors</category><category>ai</category><category>big-tech</category></item><item><title>Scalable oversight</title><link>https://contentlora.com/wiki/scalable-oversight/</link><guid isPermaLink="true">https://contentlora.com/wiki/scalable-oversight/</guid><description>Scalable oversight asks how humans can supervise AI that outperforms them. Debate, AI-assisted judging and weak-to-strong research.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-safety</category><category>ai</category></item><item><title>Self-driving labs (autonomous laboratories)</title><link>https://contentlora.com/wiki/self-driving-labs/</link><guid isPermaLink="true">https://contentlora.com/wiki/self-driving-labs/</guid><description>Self-driving labs pair AI with robots that plan, run and learn from experiments. The A-Lab, the controversy, and the 2025–26 start-up wave.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-for-science</category><category>ai</category><category>science</category></item><item><title>Sparse autoencoders (interpretability)</title><link>https://contentlora.com/wiki/sparse-autoencoders/</link><guid isPermaLink="true">https://contentlora.com/wiki/sparse-autoencoders/</guid><description>Sparse autoencoders split an AI model&apos;s internal activity into readable features. Their rise, scale-up and limits.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-safety</category><category>ai</category></item><item><title>SWE-bench</title><link>https://contentlora.com/wiki/swe-bench/</link><guid isPermaLink="true">https://contentlora.com/wiki/swe-bench/</guid><description>SWE-bench tests whether AI can fix real GitHub issues. How it works, its Verified subset, and how scores rose from 2% to near 100%.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>frontier-ai</category><category>ai</category><category>computing</category></item><item><title>Tesla Optimus</title><link>https://contentlora.com/wiki/tesla-optimus/</link><guid isPermaLink="true">https://contentlora.com/wiki/tesla-optimus/</guid><description>Optimus is Tesla&apos;s humanoid robot. Its history since 2022, the Fremont and Texas factory plans, repeated delays and status as of October 2026.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>robotics</category><category>ai</category></item><item><title>Test-time compute</title><link>https://contentlora.com/wiki/test-time-compute/</link><guid isPermaLink="true">https://contentlora.com/wiki/test-time-compute/</guid><description>Test-time compute is the computing power an AI model spends while answering. Spending more of it is how reasoning models improve.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>frontier-ai</category><category>ai</category><category>computing</category></item><item><title>TSMC (Taiwan Semiconductor Manufacturing Company)</title><link>https://contentlora.com/wiki/tsmc/</link><guid isPermaLink="true">https://contentlora.com/wiki/tsmc/</guid><description>TSMC is the Taiwanese contract chipmaker that builds chips designed by other companies. Its history, scale, process technology and 2026 results.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>semiconductors</category><category>ai</category><category>big-tech</category></item><item><title>UK AI Security Institute (AISI)</title><link>https://contentlora.com/wiki/uk-ai-security-institute/</link><guid isPermaLink="true">https://contentlora.com/wiki/uk-ai-security-institute/</guid><description>The UK AI Security Institute tests frontier AI models for national-security risks. Its history, tools and key findings.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-safety</category><category>ai</category><category>policy</category></item><item><title>Unitree Robotics</title><link>https://contentlora.com/wiki/unitree-robotics/</link><guid isPermaLink="true">https://contentlora.com/wiki/unitree-robotics/</guid><description>Unitree Robotics is a Hangzhou maker of quadruped and humanoid robots. Its shipments, 2026 Shanghai IPO, the US import ban, and role in research.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>robotics</category><category>ai</category></item><item><title>Waymo</title><link>https://contentlora.com/wiki/waymo/</link><guid isPermaLink="true">https://contentlora.com/wiki/waymo/</guid><description>Waymo runs driverless robotaxis in US cities. Its scale, safety data and AI approach, and why self-driving cars matter for embodied AI.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>robotics</category><category>ai</category></item><item><title>WeatherNext (GraphCast, GenCast)</title><link>https://contentlora.com/wiki/weathernext/</link><guid isPermaLink="true">https://contentlora.com/wiki/weathernext/</guid><description>Google DeepMind&apos;s AI weather models, from GraphCast and GenCast to WeatherNext 2: how they work and how they compare.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-for-science</category><category>ai</category><category>science</category></item><item><title>AI for science tracker: milestones and what to watch</title><link>https://contentlora.com/events/ai-for-science-tracker/</link><guid isPermaLink="true">https://contentlora.com/events/ai-for-science-tracker/</guid><description>Live tracker of AI for science: protein AI, AI weather models, materials, autonomous labs and AI drug discovery, with dated milestones.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Developing</category><category>ai-for-science</category><category>ai</category><category>science</category><category>life-sciences</category></item><item><title>AI safety tracker: alignment, interpretability and evals in 2026</title><link>https://contentlora.com/events/ai-safety-tracker/</link><guid isPermaLink="true">https://contentlora.com/events/ai-safety-tracker/</guid><description>Live tracker of AI safety milestones: interpretability results, evaluations, safety frameworks, incidents and institutes.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Developing</category><category>ai-safety</category><category>ai</category><category>policy</category></item><item><title>Frontier AI tracker: reasoning models and agents</title><link>https://contentlora.com/events/frontier-ai-tracker/</link><guid isPermaLink="true">https://contentlora.com/events/frontier-ai-tracker/</guid><description>A dated timeline of frontier AI milestones in reasoning models and AI agents, from o1 and DeepSeek-R1 to GPT-6, Claude Mythos and Gemini 4.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Developing</category><category>frontier-ai</category><category>ai</category></item><item><title>Robotics and embodied AI tracker: milestones to watch</title><link>https://contentlora.com/events/robotics-tracker/</link><guid isPermaLink="true">https://contentlora.com/events/robotics-tracker/</guid><description>A running timeline of milestones in robot foundation models, humanoids and self-driving since the 2023 start of the VLA era, updated as of October 2026.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Developing</category><category>robotics</category><category>ai</category></item><item><title>US export controls on advanced AI chips</title><link>https://contentlora.com/events/us-ai-chip-export-controls/</link><guid isPermaLink="true">https://contentlora.com/events/us-ai-chip-export-controls/</guid><description>How US rules on exporting advanced AI chips to China have changed since October 2022, who they affect, and what is still unresolved.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Developing</category><category>policy</category><category>semiconductors</category><category>ai</category><category>world-affairs</category></item><item><title>How fast are AI agents really improving?</title><link>https://contentlora.com/analysis/ai-agent-progress-debate/</link><guid isPermaLink="true">https://contentlora.com/analysis/ai-agent-progress-debate/</guid><description>AI agents&apos; task horizons are doubling every few months on benchmarks, but real-world gains are harder to measure. The evidence, weighed.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Analysis</category><category>frontier-ai</category><category>ai</category></item><item><title>Why AI chip supply is so concentrated</title><link>https://contentlora.com/analysis/ai-chip-supply-concentration/</link><guid isPermaLink="true">https://contentlora.com/analysis/ai-chip-supply-concentration/</guid><description>Why a few firms make the chips, memory and tools behind AI, what the evidence shows as of 2026, and competing views on change.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Analysis</category><category>semiconductors</category><category>ai</category></item><item><title>Do AI-designed drugs work? What the clinical evidence shows</title><link>https://contentlora.com/analysis/ai-designed-drugs-evidence/</link><guid isPermaLink="true">https://contentlora.com/analysis/ai-designed-drugs-evidence/</guid><description>AI-designed drug candidates are reaching patients. What trial data show so far, what they don&apos;t, and why &quot;AI-designed&quot; is a contested label.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Analysis</category><category>ai-for-science</category><category>health</category><category>life-sciences</category><category>ai</category></item><item><title>Has AI discovered new materials? The debate over GNoME and A-Lab</title><link>https://contentlora.com/analysis/ai-materials-discovery-debate/</link><guid isPermaLink="true">https://contentlora.com/analysis/ai-materials-discovery-debate/</guid><description>AI has predicted millions of crystals and robots have tried to make them. Why chemists dispute the claims, and what would count as proof.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Analysis</category><category>ai-for-science</category><category>materials-science</category><category>ai</category><category>science</category></item><item><title>Can AI safety keep pace with AI capabilities?</title><link>https://contentlora.com/analysis/ai-safety-keeping-pace-debate/</link><guid isPermaLink="true">https://contentlora.com/analysis/ai-safety-keeping-pace-debate/</guid><description>The central debate in AI safety in 2026: are evaluations, interpretability and oversight keeping up with fast-rising capabilities?</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Analysis</category><category>ai-safety</category><category>ai</category></item></channel></rss>